• DocumentCode
    2384075
  • Title

    Biomedical image denoising with wavelets and Bayesian geometrical constraints

  • Author

    Malfait, Maurits ; Roose, Dirk

  • Author_Institution
    Dept, K.U. Leuve, Heverlee, Belgium
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    1228
  • Abstract
    The authors review wavelet based denoising methods for images that focus on statistical properties and describe a new technique which adds geometrical constraints. They apply the techniques to biomedical images
  • Keywords
    medical image processing; Bayesian geometrical constraints; Bayesian probability; Markov random field; biomedical image denoising with wavelets; geometrical constraints; medical diagnostic imaging; statistical properties; Bayesian methods; Biomedical imaging; Computer science; Image processing; Information geometry; Markov random fields; Noise reduction; Probability; Solid modeling; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.415406
  • Filename
    415406
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2384075